LAPSE:2018.0942
Published Article
LAPSE:2018.0942
Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve
Meng Di Yin, Jeonghun Cho, Daejin Park
November 27, 2018
The pulse-based charging method for battery cells has been recognized as a fast and efficient way to overcome the shortcoming of a slow charging time in distributed battery cells, which is regarded as a connection of cells such as the Internet of Things (IoT). The pulse frequency for controlling the battery charge duration is dynamically controlled within a certain range in order to inject the maximum charge current into the battery cells. The optimal frequency is determined in order to minimize battery impedance. The adaptation of the proposed pulse duty and frequency decreases the concentration of the polarization by sensing the runtime characteristics of battery cells so that it guarantees a certain level of safety in charging the distributed battery cells within the operating temperature range of 5⁻45 °C. The sensed terminal voltage and temperature of battery cells are dynamically monitored while the battery is charging so as to adjust the frequency and duty of the proposed charging pulse method, thereby preventing battery degradation. The evaluation results show that a newly designed charging algorithm for the implemented charger system is about 18.6% faster than the conventional constant-current (CC) charging method with the temperature rise within a reasonable range. The implemented charger system, which is based on the proposed dynamic frequency and duty control by considering the cell polarization, charges to about 80% of its maximum capacity in less than 56 min and involves a 13 °C maximum temperature rise without damaging the battery.
Keywords
battery management system (BMS), fast battery charger, frequency and duty control, polarization, pulse width modulation
Suggested Citation
Yin MD, Cho J, Park D. Pulse-Based Fast Battery IoT Charger Using Dynamic Frequency and Duty Control Techniques Based on Multi-Sensing of Polarization Curve. (2018). LAPSE:2018.0942
Author Affiliations
Yin MD: School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Korea
Cho J: School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Korea
Park D: School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Korea [ORCID]
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Journal Name
Energies
Volume
9
Issue
3
Article Number
E209
Year
2016
Publication Date
2016-03-17
Published Version
ISSN
1996-1073
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PII: en9030209, Publication Type: Journal Article
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LAPSE:2018.0942
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doi:10.3390/en9030209
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Nov 27, 2018
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CC BY 4.0
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Nov 27, 2018
 
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Calvin Tsay
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